Triple

T17572678
Position Surface form Disambiguated ID Type / Status
Subject Priozersky District E427977 entity
Predicate containsSettlement P847 FINISHED
Object Melnikovo
Melnikovo is a rural settlement located within the Priozersky District of Leningrad Oblast in northwestern Russia.
E1280985 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Melnikovo | Statement: [Priozersky District, containsSettlement, Melnikovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melnikovo
Context triple: [Priozersky District, containsSettlement, Melnikovo]
  • A. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • B. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Bogdanovka
    Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
  • E. Rublyovka
    Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Melnikovo
Triple: [Priozersky District, containsSettlement, Melnikovo]
Generated description
Melnikovo is a rural settlement located within the Priozersky District of Leningrad Oblast in northwestern Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Melnikovo
Target entity description: Melnikovo is a rural settlement located within the Priozersky District of Leningrad Oblast in northwestern Russia.
  • A. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • B. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Bogdanovka
    Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
  • E. Rublyovka
    Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459324aa48190ae23fcae6e8919f8 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0216446e0c8190a1fe814407bfd2ba completed May 11, 2026, 5:47 p.m.
NEDg Description generation batch_6a0217eee47881909a61527d4ce7bd54 completed May 11, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0218636e048190a48bc7f066c7bee1 completed May 11, 2026, 5:56 p.m.
Created at: April 10, 2026, 5:50 a.m.